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Chapter and Conference Paper
Mouse-Brain Topology Improved Evolutionary Neural Network for Efficient Reinforcement Learning
The brain structures are key indicators to represent the complexity of many cognitive functions, e.g., visual pathways and memory circuits. Inspired by the topology of the mouse brain provided by the Allen Bra...
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Chapter and Conference Paper
Spiking Adaptive Dynamic Programming with Poisson Process
A new iterative spiking adaptive dynamic programming (SADP) algorithm based on the Poisson process for optimal impulsive control problems is investigated with convergence discussion of the iterative process. F...
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Chapter and Conference Paper
The Effect of Culture and Social Orientation on Player’s Performances in Tacit Coordination Games
Social Value Orientation (SVO) is one of the main factors affecting strategic decision making. This study explores the effects of different cultural background on players’ SVO as well as on their ability to c...
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Chapter and Conference Paper
Towards a Brain-Inspired Developmental Neural Network by Adaptive Synaptic Pruning
It is widely accepted that appropriate network topology should be empirically predefined before training a specific neural network learning task. However, in most cases, these carefully designed networks are e...
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Chapter and Conference Paper
Active Recommendation of Tourist Attractions Based on Visitors Interests and Semantic Relatedness
Many visitors always search on tourist attractions related information on the Web so as to get more information on the places they are visiting or plan their next trips. In this study, we introduce CASIA-TAR, ...
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Chapter and Conference Paper
CASIA-KB: A Multi-source Chinese Semantic Knowledge Base Built from Structured and Unstructured Web Data
Knowledge bases play a crucial role in intelligent systems, especially in the Web age. Many domain dependent and general purpose knowledge bases have been developed to support various kinds of applications. In...
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Chapter and Conference Paper
Linking Entities in Short Texts Based on a Chinese Semantic Knowledge Base
Populating existing knowledge base with new facts is important to keep the knowledge base fresh and most updated. Before importing new knowledge into the knowledge base, entity linking is required so that the ...